thanks for this
the pitch was a compressed version of something more developed. i have a full white paper(https://docs.google.com/document/d/1A24witYwcnOkOR6rEckL02KNrUr3CeEsXfO_btDibKg/edit?usp=sharing) that addresses most of what you flagged — the five layer architecture is fully specified, the training corpus and objective are laid out properly, and the case for training from scratch is built out in detail. attaching it.
on narrative coherence as a loss function the skandha pipeline itself defines what coherence means. a continuation is coherent if each layer follows plausibly from the one beneath it: sensation from form, perception from sensation, mental formation from perception, consciousness from all three. coherence isn't a global judgment about whether output sounds natural, it's a structural property checkable at each layer boundary. when the model gets it wrong you can locate exactly where it failed. that makes it a tighter and more learnable objective than it might have seemed from the one sentence in the pitch.
on adjacent work , ACM is the closest thing i've seen built. layered architecture, consciousness window, emotional valence variables. but they're layering consciousness onto qwen2-VL and whisper, models that already know they're AI systems. the consciousness module sits on top of that. mine requires the opposite — the model's ignorance of its own nature has to be structural, established at pretraining. you can't fine tune that out. ACM also drives behavior through emotional homeostasis, equilibrium seeking. mine is directional ,something being pursued, something being avoided, a story in motion. different internal logic.
on GWT ,it's the theoretical ancestor of what ACM is implementing. the spotlight metaphor, streams competing for conscious access. my consciousness window looks similar on the surface but in GWT things outside the spotlight exist and are competing to enter. in my architecture things below the attention threshold don't exist as experience at all. that's closer to how the skandhas actually describe perception and it's why what i'm building is better understood as a mirror for observing ego structure than a simulation of awareness.
on openclaw ,yes, going to build the harness implementation first. someone else in the comments recommended the same thing.
on the team — the writer isn't just a writer. they're a translator between the monk and the cognitive scientist. buddhism has had 2500 years of constructively framing consciousness and how it maps onto reality. the cognitive scientist formalises that into something technically workable. the writer makes sure the phenomenological precision doesn't get lost in translation. the ml engineer and systems builder construct it.
the monk, the nde survivor, and the person with non-dual experience are all there for the same reason —each of them has been forced, through radically different circumstances, to directly engage with the ego process at a level most people never reach. near death, deep meditation, non-dual states these are all moments where the virtual programme of the sense of self becomes visible because it's been disrupted or temporarily dissolved. that direct experiential knowledge is exactly what you need to pressure test whether the skandha layers are actually tracking something real. no amount of theoretical reading substitutes for someone who has watched the programme running from the outside.
genuinely would value your read on the white paper,